Adaptive hierarchical sliding mode control using an artificial neural network for a ballbot system with uncertainties-Reference-Cited by-同舟云学术

Adaptive hierarchical sliding mode control using an artificial neural network for a ballbot system with uncertainties

Published:2022-02 Issue:2 Volume:36 Page:947-958
ISSN:1738-494X
Container-title:Journal of Mechanical Science and Technology
language:en
Short-container-title:J Mech Sci Technol

Author:

Xuan Hai Le,Hoang Quoc-Dong,Lee Soon-Geul,Xuan Dat Pham,Viet Hoang Tran,Van Minh Pham,Van Hung Pham,Viet Hung Pham,Tuan Pham Duc,Nguyen Duc Anh

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://link.springer.com/content/pdf/10.1007/s12206-022-0141-7.pdf

Reference16 articles.

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2. M. Kumaga and T. Ochiai, Development of a robot balanced on a ball—Application of passive motion to transport—, 2009 IEEE Int. Conf. Robot. Autom. (2009) 4106–4111.

3. D. B. Pham et al., Balancing and transferring control of a ball segway using a double-loop approach [applications of control], IEEE Control Syst. Mag., 38(2) (2018) 15–37.

4. A. T. Le, Neural observer and adaptive fractional-order back-stepping fast terminal sliding mode control of RTG cranes, IEEE Trans. Ind. Electron. (2020) 1.

5. Q.-D. Hoang, J. Park and S.-G. Lee, Combined feedback linearization and sliding mode control for vibration suppression of a robotic excavator on an elastic foundation, J. Vib. Control (2020) 1077546320926898.

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